Metadata Assignment via Display Mode Context
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Solution Overview
Problem
Existing data management systems face challenges in efficiently assigning and retrieving metadata for large volumes of data, such as images and videos, due to difficulties in automatically classifying and searching content, leading to inconsistent metadata assignment and poor user intent reflection.
Innovation Solution
A data management apparatus and method that displays data in various modes (e.g., by date, title, position) and determines metadata candidates based on the selected display mode, allowing users to assign metadata while ensuring consistency and reflecting their intent.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If automatic classification methods are used to assign metadata to data, then the workload is reduced, but the metadata may not reflect user intent and consistency cannot be maintained
Solution Approach 1:
The system automatically generates metadata candidates based on data characteristics (e.g., extracting keywords from image attachments), allowing the data itself to suggest its own metadata without requiring manual user input for each field, thus reducing workload while maintaining quality
Solution Approach 2:
The system displays generated metadata candidates to the user and incorporates user corrections or confirmations, creating a feedback loop where automatic generation is refined by user input, ensuring both efficiency and accuracy of the final metadata
2Reliability
If manual metadata assignment is used, then user intent can be reflected, but the workload increases and consistency cannot be maintained
Solution Approach 1:
The system pre-generates metadata candidates based on data analysis before requiring user input, so users only need to review and confirm rather than create metadata from scratch, significantly reducing the effort required while maintaining intent accuracy
Solution Approach 2:
The system automatically analyzes data characteristics and generates appropriate metadata candidates, allowing the data to essentially assign its own metadata with minimal human intervention, thereby reducing workload while preserving user intent
3Productivity
If automated keyword extraction is used, then search efficiency improves, but the same keyword is assigned to different objects losing classification precision
Solution Approach 1:
The system extracts keywords specific to each data object's local characteristics (e.g., individual image attachments) rather than applying a single global keyword, allowing each object to have unique, precise metadata while maintaining overall searchability
Solution Approach 2:
The system divides the metadata assignment process into discrete units by processing each data object individually, extracting and assigning keywords specific to each object's content, thereby maintaining precision while enabling efficient searching across all objects
Data Source
AI summary
In a data management apparatus that performs data management by assigning metadata to a plurality of data, the plurality of data are displayed according to a display mode chosen from a plurality of display modes for displaying the plurality of data as a set of attribute information of the data, and a candidate for metadata to be assigned to the displayed data is determined based on the display mode.